{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7a6bb51",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import library\n",
    "from openai import OpenAI\n",
    "import os\n",
    "from dotenv import load_dotenv\n",
    "\n",
    "# Load your API key from an .env file\n",
    "load_dotenv(override=True)\n",
    "api_key = os.getenv('OPENAI_API_KEY')\n",
    "openai = OpenAI()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ac4cdf9",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "outputs": [],
   "source": [
    "# Step 1: Create your prompts\n",
    "system_prompt = \"you are a helpful assistant that suggests an appropriate short subject line for an email based on its contents.\"\n",
    "\n",
    "user_prompt = \"\"\"\n",
    "Hi John,\n",
    "I hope this email finds you well. I wanted to follow up on our meeting last week regarding the quarterly budget proposal.\n",
    "After reviewing the numbers with my team, we've identified some areas where we can reduce costs by approximately 15% without impacting our core operations. This would involve consolidating some vendor contracts and optimizing our software licensing.\n",
    "Could we schedule a meeting next week to discuss these findings in detail? I'm available Tuesday through Thursday afternoon.\n",
    "Looking forward to hearing from you.\n",
    "\n",
    "Best regards,\n",
    "Sarah\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a77ca09e",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "outputs": [],
   "source": [
    "# Step 2: Make the messages list\n",
    "messages = [\n",
    "    {\"role\": \"system\", \"content\": system_prompt},\n",
    "    {\"role\": \"user\", \"content\": user_prompt}\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8404f0fe",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "outputs": [],
   "source": [
    "# Step 3: Call OpenAI\n",
    "response = openai.chat.completions.create(model=\"gpt-4o-mini\", messages=messages)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a4875f7",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "outputs": [],
   "source": [
    "# Step 4: Print the result\n",
    "print(response.choices[0].message.content)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
